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2,847 results on '"Hallmans, Göran"'

1. A PSA SNP associates with cellular function and clinical outcome in men with prostate cancer

Author

Srinivasan, Srilakshmi, Kryza, Thomas, Bock, Nathalie, Tse, Brian W. C., Sokolowski, Kamil A., Janaththani, Panchadsaram, Fernando, Achala, Moya, Leire, Stephens, Carson, Dong, Ying, Röhl, Joan, Alinezhad, Saeid, Vela, Ian, Perry-Keene, Joanna L., Buzacott, Katie, Nica, Robert, Gago-Dominguez, Manuela, Schleutker, Johanna, Maier, Christiane, Muir, Kenneth, Tangen, Catherine M., Gronberg, Henrik, Pashayan, Nora, Albanes, Demetrius, Wolk, Alicja, Stanford, Janet L., Berndt, Sonja I., Mucci, Lorelei A., Koutros, Stella, Cussenot, Olivier, Sorensen, Karina Dalsgaard, Grindedal, Eli Marie, Travis, Ruth C., Haiman, Christopher A., MacInnis, Robert J., Vega, Ana, Wiklund, Fredrik, Neal, David E., Kogevinas, Manolis, Penney, Kathryn L., Nordestgaard, Børge G., Brenner, Hermann, John, Esther M., Gamulin, Marija, Claessens, Frank, Melander, Olle, Dahlin, Anders, Stattin, Pär, Hallmans, Göran, Häggström, Christel, Johansson, Robert, Thysell, Elin, Rönn, Ann-Charlotte, Li, Weiqiang, Brown, Nigel, Dimeski, Goce, Shepherd, Benjamin, Dadaev, Tokhir, Brook, Mark N., Spurdle, Amanda B., Stenman, Ulf-Håkan, Koistinen, Hannu, Kote-Jarai, Zsofia, Klein, Robert J., Lilja, Hans, Ecker, Rupert C., Eeles, Rosalind, Clements, Judith, and Batra, Jyotsna

Published
2024
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4. Circulating vitamin D and breast cancer risk: an international pooling project of 17 cohorts

Author

Visvanathan, Kala, Mondul, Alison M., Zeleniuch-Jacquotte, Anne, Wang, Molin, Gail, Mitchell H., Yaun, Shiaw-Shyuan, Weinstein, Stephanie J., McCullough, Marjorie L., Eliassen, A. Heather, Cook, Nancy R., Agnoli, Claudia, Almquist, Martin, Black, Amanda, Buring, Julie E., Chen, Chu, Chen, Yu, Clendenen, Tess, Dossus, Laure, Fedirko, Veronika, Gierach, Gretchen L., Giovannucci, Edward L., Goodman, Gary E., Goodman, Marc T., Guénel, Pascal, Hallmans, Göran, Hankinson, Susan E., Horst, Ronald L., Hou, Tao, Huang, Wen-Yi, Jones, Michael E., Joshu, Corrine E., Kaaks, Rudolf, Krogh, Vittorio, Kühn, Tilman, Kvaskoff, Marina, Lee, I-Min, Mahamat-Saleh, Yahya, Malm, Johan, Manjer, Jonas, Maskarinec, Gertraud, Millen, Amy E., Mukhtar, Toqir K., Neuhouser, Marian L., Robsahm, Trude E., Schoemaker, Minouk J., Sieri, Sabina, Sund, Malin, Swerdlow, Anthony J., Thomson, Cynthia A., Ursin, Giske, Wactawski-Wende, Jean, Wang, Ying, Wilkens, Lynne R., Wu, Yujie, Zoltick, Emilie, Willett, Walter C., Smith-Warner, Stephanie A., and Ziegler, Regina G.

Published
2023
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10. Genome-wide meta-analysis of monoclonal gammopathy of undetermined significance (MGUS) identifies risk loci impacting IRF-6

Author

Clay-Gilmour, Alyssa, Chattopadhyay, Subhayan, Hildebrandt, Michelle A. T., Thomsen, Hauke, Weinhold, Niels, Vodicka, Pavel, Vodickova, Ludmila, Hoffmann, Per, Nöthen, Markus M., Jöckel, Karl-Heinz, Schmidt, Börge, Langer, Christian, Hajek, Roman, Hallmans, Göran, Pettersson-Kymmer, Ulrika, Ohlsson, Claes, Späth, Florentin, Houlston, Richard, Goldschmidt, Hartmut, Manasanch, Elisabet E., Norman, Aaron, Kumar, Shaji, Rajkumar, S. Vincent, Slager, Susan, Försti, Asta, Vachon, Celine M., and Hemminki, Kari

Published
2022
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11. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease.

Author

Jakobsdottir, Johanna, van der Lee, Sven J, Bis, Joshua C, Chouraki, Vincent, Li-Kroeger, David, Yamamoto, Shinya, Grove, Megan L, Naj, Adam, Vronskaya, Maria, Salazar, Jose L, DeStefano, Anita L, Brody, Jennifer A, Smith, Albert V, Amin, Najaf, Sims, Rebecca, Ibrahim-Verbaas, Carla A, Choi, Seung-Hoan, Satizabal, Claudia L, Lopez, Oscar L, Beiser, Alexa, Ikram, M Arfan, Garcia, Melissa E, Hayward, Caroline, Varga, Tibor V, Ripatti, Samuli, Franks, Paul W, Hallmans, Göran, Rolandsson, Olov, Jansson, Jan-Håkon, Porteous, David J, Salomaa, Veikko, Eiriksdottir, Gudny, Rice, Kenneth M, Bellen, Hugo J, Levy, Daniel, Uitterlinden, Andre G, Emilsson, Valur, Rotter, Jerome I, Aspelund, Thor, Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, Alzheimer’s Disease Genetic Consortium, Genetic and Environmental Risk in Alzheimer’s Disease consortium, O'Donnell, Christopher J, Fitzpatrick, Annette L, Launer, Lenore J, Hofman, Albert, Wang, Li-San, Williams, Julie, Schellenberg, Gerard D, Boerwinkle, Eric, Psaty, Bruce M, Seshadri, Sudha, Shulman, Joshua M, Gudnason, Vilmundur, and van Duijn, Cornelia M

Subjects
Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, Alzheimer’s Disease Genetic Consortium, Genetic and Environmental Risk in Alzheimer’s Disease consortium, Animals, Humans, Drosophila melanogaster, Alzheimer Disease, Intracellular Signaling Peptides and Proteins, Amyloid beta-Protein Precursor, Apolipoproteins E, Tropomyosin, Drosophila Proteins, Membrane Proteins, Genomics, Age of Onset, Phenotype, Mutation, Alleles, Aged, European Continental Ancestry Group, Iceland, Female, Male, Receptors, Notch, Genome-Wide Association Study, Exome, Receptors, Notch, Genetics, Developmental Biology
Abstract

We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5% versus

Published
2016

12. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels.

Author

Kilpeläinen, Tuomas O, Carli, Jayne F Martin, Skowronski, Alicja A, Sun, Qi, Kriebel, Jennifer, Feitosa, Mary F, Hedman, Åsa K, Drong, Alexander W, Hayes, James E, Zhao, Jinghua, Pers, Tune H, Schick, Ursula, Grarup, Niels, Kutalik, Zoltán, Trompet, Stella, Mangino, Massimo, Kristiansson, Kati, Beekman, Marian, Lyytikäinen, Leo-Pekka, Eriksson, Joel, Henneman, Peter, Lahti, Jari, Tanaka, Toshiko, Luan, Jian'an, Del Greco M, Fabiola, Pasko, Dorota, Renström, Frida, Willems, Sara M, Mahajan, Anubha, Rose, Lynda M, Guo, Xiuqing, Liu, Yongmei, Kleber, Marcus E, Pérusse, Louis, Gaunt, Tom, Ahluwalia, Tarunveer S, Ju Sung, Yun, Ramos, Yolande F, Amin, Najaf, Amuzu, Antoinette, Barroso, Inês, Bellis, Claire, Blangero, John, Buckley, Brendan M, Böhringer, Stefan, I Chen, Yii-Der, de Craen, Anton JN, Crosslin, David R, Dale, Caroline E, Dastani, Zari, Day, Felix R, Deelen, Joris, Delgado, Graciela E, Demirkan, Ayse, Finucane, Francis M, Ford, Ian, Garcia, Melissa E, Gieger, Christian, Gustafsson, Stefan, Hallmans, Göran, Hankinson, Susan E, Havulinna, Aki S, Herder, Christian, Hernandez, Dena, Hicks, Andrew A, Hunter, David J, Illig, Thomas, Ingelsson, Erik, Ioan-Facsinay, Andreea, Jansson, John-Olov, Jenny, Nancy S, Jørgensen, Marit E, Jørgensen, Torben, Karlsson, Magnus, Koenig, Wolfgang, Kraft, Peter, Kwekkeboom, Joanneke, Laatikainen, Tiina, Ladwig, Karl-Heinz, LeDuc, Charles A, Lowe, Gordon, Lu, Yingchang, Marques-Vidal, Pedro, Meisinger, Christa, Menni, Cristina, Morris, Andrew P, Myers, Richard H, Männistö, Satu, Nalls, Mike A, Paternoster, Lavinia, Peters, Annette, Pradhan, Aruna D, Rankinen, Tuomo, Rasmussen-Torvik, Laura J, Rathmann, Wolfgang, Rice, Treva K, Brent Richards, J, Ridker, Paul M, Sattar, Naveed, and Savage, David B

Subjects
Adipose Tissue, Animals, Mice, Leptin, RNA, Messenger, Tissue Culture Techniques, Gene Expression Regulation, Male, Genome-Wide Association Study, Gene Knockdown Techniques, RNA, Messenger
Abstract

Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P

Published
2016

13. Eight novel loci implicate shared genetic etiology in multiple myeloma, AL amyloidosis, and monoclonal gammopathy of unknown significance

Author

Chattopadhyay, Subhayan, Thomsen, Hauke, Weinhold, Niels, Meziane, Iman, Huhn, Stefanie, da Silva Filho, Miguel Inacio, Vodicka, Pavel, Vodickova, Ludmila, Hoffmann, Per, Nöthen, Markus M., Jöckel, Karl-Heinz, Schmidt, Börge, Landi, Stefano, Hajek, Roman, Hallmans, Göran, Pettersson-Kymmer, Ulrika, Ohlsson, Claes, Milani, Paolo, Merlini, Giampaolo, Rowcieno, Dorota, Hawkins, Philip, Hegenbart, Ute, Palladini, Giovanni, Wechalekar, Ashutosh, Schönland, Stefan O., Houlston, Richard, Goldschmidt, Hartmut, Hemminki, Kari, and Försti, Asta

Published
2020
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14. Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou‐Feng, Forgetta, Vincenzo, Hsu, Yi‐Hsiang, Estrada, Karol, Rosello‐Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park‐Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching‐Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson‐Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen‐Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia‐Ho, Cheung, Warren, Medina‐Gómez, Carolina, Ge, Bing, Chen, Shu‐Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, van Schoor, Natasja M, de Groot, Lisette CPGM, van der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia‐Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, and Arp, Pascal P

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Genetics, Human Genome, Biotechnology, Osteoporosis, Stem Cell Research, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Aetiology, Underpinning research, Musculoskeletal, Injuries and accidents, Animals, Bone Density, Bone and Bones, Disease Models, Animal, Europe, Exome, Female, Fractures, Bone, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genomics, Genotype, Homeodomain Proteins, Humans, Mice, Sequence Analysis, DNA, White People, Wnt Proteins, AOGC Consortium, UK10K Consortium, General Science & Technology
Abstract

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Published
2015

15. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

Author

Wessel, Jennifer, Chu, Audrey Y, Willems, Sara M, Wang, Shuai, Yaghootkar, Hanieh, Brody, Jennifer A, Dauriz, Marco, Hivert, Marie-France, Raghavan, Sridharan, Lipovich, Leonard, Hidalgo, Bertha, Fox, Keolu, Huffman, Jennifer E, An, Ping, Lu, Yingchang, Rasmussen-Torvik, Laura J, Grarup, Niels, Ehm, Margaret G, Li, Li, Baldridge, Abigail S, Stančáková, Alena, Abrol, Ravinder, Besse, Céline, Boland, Anne, Bork-Jensen, Jette, Fornage, Myriam, Freitag, Daniel F, Garcia, Melissa E, Guo, Xiuqing, Hara, Kazuo, Isaacs, Aaron, Jakobsdottir, Johanna, Lange, Leslie A, Layton, Jill C, Li, Man, Hua Zhao, Jing, Meidtner, Karina, Morrison, Alanna C, Nalls, Mike A, Peters, Marjolein J, Sabater-Lleal, Maria, Schurmann, Claudia, Silveira, Angela, Smith, Albert V, Southam, Lorraine, Stoiber, Marcus H, Strawbridge, Rona J, Taylor, Kent D, Varga, Tibor V, Allin, Kristine H, Amin, Najaf, Aponte, Jennifer L, Aung, Tin, Barbieri, Caterina, Bihlmeyer, Nathan A, Boehnke, Michael, Bombieri, Cristina, Bowden, Donald W, Burns, Sean M, Chen, Yuning, Chen, Yii-DerI, Cheng, Ching-Yu, Correa, Adolfo, Czajkowski, Jacek, Dehghan, Abbas, Ehret, Georg B, Eiriksdottir, Gudny, Escher, Stefan A, Farmaki, Aliki-Eleni, Frånberg, Mattias, Gambaro, Giovanni, Giulianini, Franco, Goddard, William A, Goel, Anuj, Gottesman, Omri, Grove, Megan L, Gustafsson, Stefan, Hai, Yang, Hallmans, Göran, Heo, Jiyoung, Hoffmann, Per, Ikram, Mohammad K, Jensen, Richard A, Jørgensen, Marit E, Jørgensen, Torben, Karaleftheri, Maria, Khor, Chiea C, Kirkpatrick, Andrea, Kraja, Aldi T, Kuusisto, Johanna, Lange, Ethan M, Lee, IT, Lee, Wen-Jane, Leong, Aaron, Liao, Jiemin, Liu, Chunyu, Liu, Yongmei, Lindgren, Cecilia M, Linneberg, Allan, and Malerba, Giovanni

Subjects
EPIC-InterAct Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Insulin, Glucose-6-Phosphatase, Blood Glucose, Oligonucleotide Array Sequence Analysis, Fasting, Polymorphism, Single Nucleotide, African Continental Ancestry Group, European Continental Ancestry Group, Genetic Variation, Genetic Loci, Genetic Association Studies, Mutation Rate, Exome, Glucagon-Like Peptide-1 Receptor, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Diabetes, Genetics, Nutrition, Clinical Research, Prevention, Human Genome, 2.1 Biological and endogenous factors, Metabolic and Endocrine
Abstract

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

Published
2015

16. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

Author

Surendran, Praveen, Young, Robin, Barnes, Daniel R., Nielsen, Sune Fallgaard, Rasheed, Asif, Samuel, Maria, Zhao, Wei, Kontto, Jukka, Perola, Markus, Caslake, Muriel, de Craen, Anton J.M., Trompet, Stella, Uria-Nickelsen, Maria, Malarstig, Anders, Reily, Dermot F., Hoek, Maarten, Vogt, Thomas, Jukema, J. Wouter, Sattar, Naveed, Ford, Ian, Packard, Chris J., Alam, Dewan S., Majumder, Abdulla al Shafi, Di Angelantonio, Emanuele, Chowdhury, Rajiv, Amouyel, Philippe, Arveiler, Dominique, Blankenberg, Stefan, Ferrières, Jean, Kee, Frank, Kuulasmaa, Kari, Müller-Nurasyid, Martina, Veronesi, Giovanni, Virtamo, Jarmo, EPIC-CVD Consortium, Frossard, Philippe, Nordestgaard, Børge Grønne, Saleheen, Danish, Danesh, John, Butterworth, Adam S., Howson, Joanna M.M., Erzurumluoglu, A. Mesut, Jackson, Victoria E., Melbourne, Carl A., Varga, Tibor V., Warren, Helen R., Tragante, Vinicius, Tachmazidou, Ioanna, Harris, Sarah E., Evangelou, Evangelos, Marten, Jonathan, Zhang, Weihua, Altmaier, Elisabeth, Luan, Jian’an, Langenberg, Claudia, Scott, Robert A., Yaghootkar, Hanieh, Stirrups, Kathleen, Kanoni, Stavroula, Marouli, Eirini, Karpe, Fredrik, Dominiczak, Anna F., Sever, Peter, Poulter, Neil, Rolandsson, Olov, Baumbach, Clemens, Afaq, Saima, Chambers, John C., Kooner, Jaspal S., Wareham, Nicholas J., Renström, Frida, Hallmans, Göran, Marioni, Riccardo E., Corley, Janie, Starr, John M., Verweij, Niek, de Boer, Rudolf A., van der Meer, Peter, Yavas, Ersin, Vaartjes, Ilonca, Bots, Michiel L., Asselbergs, Folkert W., Grabe, Hans J., Völzke, Henry, Nauck, Matthias, Weiss, Stefan, Pharoah, Paul D.P., Dunning, Alison M., Dennis, Joe G., Thompson, Deborah J., Michailidou, Kyriaki, Easton, Douglas F., Antoniou, Antonis C., Tyrrell, Jessica, Mihailov, Evelin, Samani, Nilesh J., Zhou, Kaixin, Neville, Matthew J., Metspalu, Andres, Palmer, Colin N.A., Hall, Ian P., Strachan, David P., Deary, Ian J., Frayling, Tim M., Hayward, Caroline, van der Harst, Pim, Zeggini, Eleftheria, Understanding Society Scientific Group, Munroe, Patricia B., Jansson, Jan-Håkan, Franks, Paul W., Deloukas, Panos, Caulfield, Mark J., Wain, Louise V., Tobin, Martin D., Brazel, David M., Jiang, Yu, Hughey, Jordan M., Turcot, Valérie, Zhan, Xiaowei, Gong, Jian, Batini, Chiara, Weissenkampen, J. Dylan, Liu, MengZhen, Bertelsen, Sarah, Chou, Yi-Ling, Faul, Jessica D., Haessler, Jeff, Hammerschlag, Anke R., Hsu, Chris, Kapoor, Manav, Lai, Dongbing, Le, Nhung, de Leeuw, Christiaan A., Loukola, Anu, Mangino, Massimo, Pistis, Giorgio, Qaiser, Beenish, Rohde, Rebecca, Shao, Yaming, Stringham, Heather, Wetherill, Leah, Agrawal, Arpana, Bierut, Laura, Chen, Chu, Eaton, Charles B., Goate, Alison, Haiman, Christopher, Heath, Andrew, Iacono, William G., Martin, Nicholas G., Polderman, Tinca J., Reiner, Alex, Rice, John, Schlessinger, David, Scholte, H. Steven, Smith, Jennifer A., Tardif, Jean-Claude, Tindle, Hilary A., van der Leij, Andries R., Boehnke, Michael, Chang-Claude, Jenny, Cucca, Francesco, David, Sean P., Foroud, Tatiana, Kardia, Sharon L.R., Kooperberg, Charles, Laakso, Markku, Lettre, Guillaume, Madden, Pamela, McGue, Matt, North, Kari, Posthuma, Danielle, Spector, Timothy, Stram, Daniel, Weir, David R., Kaprio, Jaakko, Abecasis, Gonçalo R., Liu, Dajiang J., and Vrieze, Scott

Published
2019
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19. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

Author

de las Fuentes, Lisa, primary, Schwander, Karen L., additional, Brown, Michael R., additional, Bentley, Amy R., additional, Winkler, Thomas W., additional, Sung, Yun Ju, additional, Munroe, Patricia B., additional, Miller, Clint L., additional, Aschard, Hugo, additional, Aslibekyan, Stella, additional, Bartz, Traci M., additional, Bielak, Lawrence F., additional, Chai, Jin Fang, additional, Cheng, Ching-Yu, additional, Dorajoo, Rajkumar, additional, Feitosa, Mary F., additional, Guo, Xiuqing, additional, Hartwig, Fernando P., additional, Horimoto, Andrea, additional, Kolčić, Ivana, additional, Lim, Elise, additional, Liu, Yongmei, additional, Manning, Alisa K., additional, Marten, Jonathan, additional, Musani, Solomon K., additional, Noordam, Raymond, additional, Padmanabhan, Sandosh, additional, Rankinen, Tuomo, additional, Richard, Melissa A., additional, Ridker, Paul M., additional, Smith, Albert V., additional, Vojinovic, Dina, additional, Zonderman, Alan B., additional, Alver, Maris, additional, Boissel, Mathilde, additional, Christensen, Kaare, additional, Freedman, Barry I., additional, Gao, Chuan, additional, Giulianini, Franco, additional, Harris, Sarah E., additional, He, Meian, additional, Hsu, Fang-Chi, additional, Kühnel, Brigitte, additional, Laguzzi, Federica, additional, Li, Xiaoyin, additional, Lyytikäinen, Leo-Pekka, additional, Nolte, Ilja M., additional, Poveda, Alaitz, additional, Rauramaa, Rainer, additional, Riaz, Muhammad, additional, Robino, Antonietta, additional, Sofer, Tamar, additional, Takeuchi, Fumihiko, additional, Tayo, Bamidele O., additional, van der Most, Peter J., additional, Verweij, Niek, additional, Ware, Erin B., additional, Weiss, Stefan, additional, Wen, Wanqing, additional, Yanek, Lisa R., additional, Zhan, Yiqiang, additional, Amin, Najaf, additional, Arking, Dan E., additional, Ballantyne, Christie, additional, Boerwinkle, Eric, additional, Brody, Jennifer A., additional, Broeckel, Ulrich, additional, Campbell, Archie, additional, Canouil, Mickaël, additional, Chai, Xiaoran, additional, Chen, Yii-Der Ida, additional, Chen, Xu, additional, Chitrala, Kumaraswamy Naidu, additional, Concas, Maria Pina, additional, de Faire, Ulf, additional, de Mutsert, Renée, additional, de Silva, H. Janaka, additional, de Vries, Paul S., additional, Do, Ahn, additional, Faul, Jessica D., additional, Fisher, Virginia, additional, Floyd, James S., additional, Forrester, Terrence, additional, Friedlander, Yechiel, additional, Girotto, Giorgia, additional, Gu, C. Charles, additional, Hallmans, Göran, additional, Heikkinen, Sami, additional, Heng, Chew-Kiat, additional, Homuth, Georg, additional, Hunt, Steven, additional, Ikram, M. Arfan, additional, Jacobs, David R., additional, Kavousi, Maryam, additional, Khor, Chiea Chuen, additional, Kilpeläinen, Tuomas O., additional, Koh, Woon-Puay, additional, Komulainen, Pirjo, additional, Langefeld, Carl D., additional, Liang, Jingjing, additional, Liu, Kiang, additional, Liu, Jianjun, additional, Lohman, Kurt, additional, Mägi, Reedik, additional, Manichaikul, Ani W., additional, McKenzie, Colin A., additional, Meitinger, Thomas, additional, Milaneschi, Yuri, additional, Nauck, Matthias, additional, Nelson, Christopher P., additional, O’Connell, Jeffrey R., additional, Palmer, Nicholette D., additional, Pereira, Alexandre C., additional, Perls, Thomas, additional, Peters, Annette, additional, Polašek, Ozren, additional, Raitakari, Olli T., additional, Rice, Kenneth, additional, Rice, Treva K., additional, Rich, Stephen S., additional, Sabanayagam, Charumathi, additional, Schreiner, Pamela J., additional, Shu, Xiao-Ou, additional, Sidney, Stephen, additional, Sims, Mario, additional, Smith, Jennifer A., additional, Starr, John M., additional, Strauch, Konstantin, additional, Tai, E. Shyong, additional, Taylor, Kent D., additional, Tsai, Michael Y., additional, Uitterlinden, André G., additional, van Heemst, Diana, additional, Waldenberger, Melanie, additional, Wang, Ya-Xing, additional, Wei, Wen-Bin, additional, Wilson, Gregory, additional, Xuan, Deng, additional, Yao, Jie, additional, Yu, Caizheng, additional, Yuan, Jian-Min, additional, Zhao, Wei, additional, Becker, Diane M., additional, Bonnefond, Amélie, additional, Bowden, Donald W., additional, Cooper, Richard S., additional, Deary, Ian J., additional, Divers, Jasmin, additional, Esko, Tõnu, additional, Franks, Paul W., additional, Froguel, Philippe, additional, Gieger, Christian, additional, Jonas, Jost B., additional, Kato, Norihiro, additional, Lakka, Timo A., additional, Leander, Karin, additional, Lehtimäki, Terho, additional, Magnusson, Patrik K. E., additional, North, Kari E., additional, Ntalla, Ioanna, additional, Penninx, Brenda, additional, Samani, Nilesh J., additional, Snieder, Harold, additional, Spedicati, Beatrice, additional, van der Harst, Pim, additional, Völzke, Henry, additional, Wagenknecht, Lynne E., additional, Weir, David R., additional, Wojczynski, Mary K., additional, Wu, Tangchun, additional, Zheng, Wei, additional, Zhu, Xiaofeng, additional, Bouchard, Claude, additional, Chasman, Daniel I., additional, Evans, Michele K., additional, Fox, Ervin R., additional, Gudnason, Vilmundur, additional, Hayward, Caroline, additional, Horta, Bernardo L., additional, Kardia, Sharon L. R., additional, Krieger, Jose Eduardo, additional, Mook-Kanamori, Dennis O., additional, Peyser, Patricia A., additional, Province, Michael M., additional, Psaty, Bruce M., additional, Rudan, Igor, additional, Sim, Xueling, additional, Smith, Blair H., additional, van Dam, Rob M., additional, van Duijn, Cornelia M., additional, Wong, Tien Yin, additional, Arnett, Donna K., additional, Rao, Dabeeru C., additional, Gauderman, James, additional, Liu, Ching-Ti, additional, Morrison, Alanna C., additional, Rotter, Jerome I., additional, and Fornage, Myriam, additional

Published
2023
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20. Common variants associated with plasma triglycerides and risk for coronary artery disease

Author

Do, Ron, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Gao, Chi, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Yi, Demirkan, Ayşe, Den Hertog, Heleen M, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Fraser, Ross M, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik KE, Mangino, Massimo, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doney, Alex SF, Döring, Angela, Elliott, Paul, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Gigante, Bruna, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John JP, and Khaw, Kay-Tee

Subjects
Heart Disease - Coronary Heart Disease, Atherosclerosis, Prevention, Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Biological Transport, Cholesterol, HDL, Cholesterol, LDL, Coronary Artery Disease, Humans, Polymorphism, Single Nucleotide, Risk Factors, Triglycerides, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Triglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 × 10(-8) for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphism's effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.

Published
2013

21. Discovery and refinement of loci associated with lipid levels.

Author

Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Yi, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Fraser, Ross M, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik KE, Mangino, Massimo, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doney, Alex SF, Döring, Angela, Elliott, Paul, Epstein, Stephen E, Ingi Eyjolfsson, Gudmundur, Gigante, Bruna, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John JP, Khaw, Kay-Tee, and Kim, Eric

Subjects
Global Lipids Genetics Consortium, Humans, Genetic Predisposition to Disease, Lipids, Triglycerides, Genotype, African Continental Ancestry Group, Asian Continental Ancestry Group, European Continental Ancestry Group, Cholesterol, LDL, Cholesterol, HDL, Coronary Artery Disease, Genome-Wide Association Study, Cardiovascular, Genetics, Heart Disease - Coronary Heart Disease, Nutrition, Atherosclerosis, Heart Disease, 2.1 Biological and endogenous factors, Metabolic and endocrine, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 × 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.

Published
2013

22. Performance in Omics Analyses of Blood Samples in Long-Term Storage: Opportunities for the Exploitation of Existing Biobanks in Environmental Health Research

Author

Hebels, Dennie GAJ, Georgiadis, Panagiotis, Keun, Hector C, Athersuch, Toby J, Vineis, Paolo, Vermeulen, Roel, Portengen, Lützen, Bergdahl, Ingvar A, Hallmans, Göran, Palli, Domenico, Bendinelli, Benedetta, Krogh, Vittorio, Tumino, Rosario, Sacerdote, Carlotta, Panico, Salvatore, Kleinjans, Jos CS, de Kok, Theo MCM, Smith, Martyn T, Kyrtopoulos, Soterios A, and Consortium, on behalf of the EnviroGenomarkers Project

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Human Genome, Genetics, Anticoagulants, Biological Specimen Banks, Biomarkers, Environmental Health, Gene Expression Profiling, Genomics, Humans, Metabolomics, RNA, Specimen Handling, Time Factors, biomarkers, epigenomics, metabolomics, metabonomics, molecular epidemiology, proteomics, transcriptomics, EnviroGenomarkers Project Consortium, Environmental Sciences, Medical and Health Sciences, Toxicology, Biomedical and clinical sciences, Environmental sciences, Health sciences
Abstract

BackgroundThe suitability for omic analysis of biosamples collected in previous decades and currently stored in biobanks is unknown.ObjectivesWe evaluated the influence of handling and storage conditions of blood-derived biosamples on transcriptomic, epigenomic (CpG methylation), plasma metabolomic [UPLC-ToFMS (ultra performance liquid chromatography-time-of-flight mass spectrometry)], and wide-target proteomic profiles.MethodsWe collected fresh blood samples without RNA preservative in heparin, EDTA, or citrate and held them at room temperature for ≤ 24 hr before fractionating them into buffy coat, erythrocytes, and plasma and freezing the fractions at -80oC or in liquid nitrogen. We developed methodology for isolating RNA from the buffy coats and conducted omic analyses. Finally, we analyzed analogous samples from the EPIC-Italy and Northern Sweden Health and Disease Study biobanks.ResultsMicroarray-quality RNA could be isolated from buffy coats (including most biobank samples) that had been frozen within 8 hr of blood collection by thawing the samples in RNA preservative. Different anticoagulants influenced the metabolomic, proteomic, and to a lesser extent transcriptomic profiles. Transcriptomic profiles were most affected by the delay (as little as 2 hr) before blood fractionation, whereas storage temperature had minimal impact. Effects on metabolomic and proteomic profiles were noted in samples processed ≥ 8 hr after collection, but no effects were due to storage temperature. None of the variables examined significantly influenced the epigenomic profiles. No systematic influence of time-in-storage was observed in samples stored over a period of 13-17 years.ConclusionsMost samples currently stored in biobanks are amenable to meaningful omics analysis, provided that they satisfy collection and storage criteria defined in this study.

Published
2013

23. Polymorphisms in genes related to one-carbon metabolism are not related to pancreatic cancer in PanScan and PanC4

Author

Leenders, Max, Bhattacharjee, Samsiddhi, Vineis, Paolo, Stevens, Victoria, Bueno-de-Mesquita, H Bas, Shu, Xiao-Ou, Amundadottir, Laufey, Gross, Myron, Tobias, Geoffrey S, Wactawski-Wende, Jean, Arslan, Alan A, Duell, Eric J, Fuchs, Charles S, Gallinger, Steven, Hartge, Patricia, Hoover, Robert N, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, Kooperberg, Charles, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Petersen, Gloria, Risch, Harvey A, Yu, Kai, Wolpin, Brian M, Zheng, Wei, Agalliu, Ilir, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Buring, Julie E, Canzian, Federico, Chang, Kenneth, Chanock, Stephen J, Cotterchio, Michelle, Gaziano, J Michael, Giovanucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hoffman-Bolton, Judith A, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Jenab, Mazda, Khaw, Kay-Tee, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, McWilliams, Robert R, Mendelsohn, Julie B, Patel, Alpa V, Rabe, Kari G, Riboli, Elio, Tjønneland, Anne, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Elena, Joanne W, Yu, Herbert, Zeleniuch-Jacquotte, Anne, and Stolzenberg-Solomon, Rachael Z

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Digestive Diseases, Genetics, Pancreatic Cancer, Prevention, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Carbon, Case-Control Studies, Cohort Studies, Germ-Line Mutation, Humans, Pancreatic Neoplasms, Polymorphism, Single Nucleotide, United States, Pancreatic cancer, One-carbon metabolism, Polymorphisms, Biomarkers, Public Health and Health Services, Oncology and carcinogenesis
Abstract

PurposeThe evidence of a relation between folate intake and one-carbon metabolism (OCM) with pancreatic cancer (PanCa) is inconsistent. In this study, the association between genes and single-nucleotide polymorphisms (SNPs) related to OCM and PanCa was assessed.MethodsUsing biochemical knowledge of the OCM pathway, we identified thirty-seven genes and 834 SNPs to examine in association with PanCa. Our study included 1,408 cases and 1,463 controls nested within twelve cohorts (PanScan). The ten SNPs and five genes with lowest p values (

Published
2013

24. Diabetes and risk of pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium

Author

Elena, Joanne W, Steplowski, Emily, Yu, Kai, Hartge, Patricia, Tobias, Geoffrey S, Brotzman, Michelle J, Chanock, Stephen J, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Bao, Ying, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Buring, Julie E, Gaziano, J Michael, Giovannucci, Edward L, Duell, Eric J, Hallmans, Göran, Howard, Barbara V, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kooperberg, Charles, Kraft, Peter, Mendelsohn, Julie B, Michaud, Dominique S, Palli, Domenico, Phillips, Lawrence S, Overvad, Kim, Patel, Alpa V, Sansbury, Leah, Shu, Xiao-Ou, Simon, Michael S, Slimani, Nadia, Trichopoulos, Dimitrios, Visvanathan, Kala, Virtamo, Jarmo, Wolpin, Brian M, Zeleniuch-Jacquotte, Anne, Fuchs, Charles S, Hoover, Robert N, and Gross, Myron

Subjects
Biomedical and Clinical Sciences, Epidemiology, Health Services and Systems, Health Sciences, Oncology and Carcinogenesis, Rare Diseases, Cancer, Pancreatic Cancer, Prevention, Digestive Diseases, Clinical Research, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Case-Control Studies, Cohort Studies, Diabetes Complications, Diabetes Mellitus, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms, Risk Factors, Public Health and Health Services, Oncology and carcinogenesis
Abstract

PurposeDiabetes is a suspected risk factor for pancreatic cancer, but questions remain about whether it is a risk factor or a result of the disease. This study prospectively examined the association between diabetes and the risk of pancreatic adenocarcinoma in pooled data from the NCI pancreatic cancer cohort consortium (PanScan).MethodsThe pooled data included 1,621 pancreatic adenocarcinoma cases and 1,719 matched controls from twelve cohorts using a nested case-control study design. Subjects who were diagnosed with diabetes near the time (

Published
2013

25. Genome-wide association study of monoclonal gammopathy of unknown significance (MGUS): comparison with multiple myeloma

Author

Thomsen, Hauke, Chattopadhyay, Subhayan, Weinhold, Niels, Vodicka, Pavel, Vodickova, Ludmila, Hoffmann, Per, Nöthen, Markus M., Jöckel, Karl-Heinz, Langer, Christian, Hajek, Roman, Hallmans, Göran, Pettersson-Kymmer, Ulrika, Ohlsson, Claes, Späth, Florentin, Houlston, Richard, Goldschmidt, Hartmut, Hemminki, Kari, and Försti, Asta

Published
2019
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26. Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer.

Author

Li, Donghui, Duell, Eric J, Yu, Kai, Risch, Harvey A, Olson, Sara H, Kooperberg, Charles, Wolpin, Brian M, Jiao, Li, Dong, Xiaoqun, Wheeler, Bill, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Fuchs, Charles S, Gallinger, Steven, Gross, Myron, Hartge, Patricia, Hoover, Robert N, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Mandelson, Margaret T, Petersen, Gloria, Zheng, Wei, Agalliu, Ilir, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Buring, Julie E, Canzian, Federico, Chang, Kenneth, Chanock, Stephen J, Cotterchio, Michelle, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hoffman Bolton, Judith A, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Jenab, Mazda, Khaw, Kay-Tee, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, McWilliams, Robert R, Mendelsohn, Julie B, Patel, Alpa V, Rabe, Kari G, Riboli, Elio, Shu, Xiao-Ou, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Watters, Joanne, Yu, Herbert, Zeleniuch-Jacquotte, Anne, Amundadottir, Laufey, and Stolzenberg-Solomon, Rachael Z

Subjects
Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic cancer cases and 3934 control participants pooled from 12 cohort studies and 8 case-control studies (PanScan). We compiled 23 biological pathways hypothesized to be relevant to pancreatic cancer and observed a nominal association between pancreatic cancer and five pathways (P < 0.05), i.e. pancreatic development, Helicobacter pylori lacto/neolacto, hedgehog, Th1/Th2 immune response and apoptosis (P = 2.0 × 10(-6), 1.6 × 10(-5), 0.0019, 0.019 and 0.023, respectively). After excluding previously identified genes from the original GWAS in three pathways (NR5A2, ABO and SHH), the pancreatic development pathway remained significant (P = 8.3 × 10(-5)), whereas the others did not. The most significant genes (P < 0.01) in the five pathways were NR5A2, HNF1A, HNF4G and PDX1 for pancreatic development; ABO for H.pylori lacto/neolacto; SHH for hedgehog; TGFBR2 and CCL18 for Th1/Th2 immune response and MAPK8 and BCL2L11 for apoptosis. Our results provide a link between inherited variation in genes important for pancreatic development and cancer and show that pathway-based approaches to analysis of GWAS data can yield important insights into the collective role of genetic risk variants in cancer.

Published
2012

27. No Interactions Between Previously Associated 2-Hour Glucose Gene Variants and Physical Activity or BMI on 2-Hour Glucose Levels

Author

Scott, Robert A, Chu, Audrey Y, Grarup, Niels, Manning, Alisa K, Hivert, Marie-France, Shungin, Dmitry, Tönjes, Anke, Yesupriya, Ajay, Barnes, Daniel, Bouatia-Naji, Nabila, Glazer, Nicole L, Jackson, Anne U, Kutalik, Zoltán, Lagou, Vasiliki, Marek, Diana, Rasmussen-Torvik, Laura J, Stringham, Heather M, Tanaka, Toshiko, Aadahl, Mette, Arking, Dan E, Bergmann, Sven, Boerwinkle, Eric, Bonnycastle, Lori L, Bornstein, Stefan R, Brunner, Eric, Bumpstead, Suzannah J, Brage, Soren, Carlson, Olga D, Chen, Han, Chen, Yii-Der Ida, Chines, Peter S, Collins, Francis S, Couper, David J, Dennison, Elaine M, Dowling, Nicole F, Egan, Josephine S, Ekelund, Ulf, Erdos, Michael R, Forouhi, Nita G, Fox, Caroline S, Goodarzi, Mark O, Grässler, Jürgen, Gustafsson, Stefan, Hallmans, Göran, Hansen, Torben, Hingorani, Aroon, Holloway, John W, Hu, Frank B, Isomaa, Bo, Jameson, Karen A, Johansson, Ingegerd, Jonsson, Anna, Jørgensen, Torben, Kivimaki, Mika, Kovacs, Peter, Kumari, Meena, Kuusisto, Johanna, Laakso, Markku, Lecoeur, Cécile, Lévy-Marchal, Claire, Li, Guo, Loos, Ruth JF, Lyssenko, Valeri, Marmot, Michael, Marques-Vidal, Pedro, Morken, Mario A, Müller, Gabriele, North, Kari E, Pankow, James S, Payne, Felicity, Prokopenko, Inga, Psaty, Bruce M, Renström, Frida, Rice, Ken, Rotter, Jerome I, Rybin, Denis, Sandholt, Camilla H, Sayer, Avan A, Shrader, Peter, Schwarz, Peter EH, Siscovick, David S, Stančáková, Alena, Stumvoll, Michael, Teslovich, Tanya M, Waeber, Gérard, Williams, Gordon H, Witte, Daniel R, Wood, Andrew R, Xie, Weijia, Boehnke, Michael, Cooper, Cyrus, Ferrucci, Luigi, Froguel, Philippe, Groop, Leif, Kao, WH Linda, Vollenweider, Peter, Walker, Mark, Watanabe, Richard M, Pedersen, Oluf, and Meigs, James B

Subjects
Biomedical and Clinical Sciences, Clinical Research, Genetics, Diabetes, Prevention, Obesity, Nutrition, 2.1 Biological and endogenous factors, Aetiology, 2.3 Psychological, social and economic factors, Metabolic and endocrine, Blood Glucose, Body Mass Index, Epigenesis, Genetic, Gene Expression Regulation, Genotype, Humans, Life Style, Motor Activity, Polymorphism, Single Nucleotide, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract

Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) × BMI and SNP × physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glucose levels than active individuals (β = 0.22 mmol/L [95% CI 0.13-0.31], P = 1.63 × 10(-6)). All SNPs were associated with 2-h glucose (β = 0.06-0.12 mmol/allele, P ≤ 1.53 × 10(-7)), but no significant interactions were found with PA (P > 0.18) or BMI (P ≥ 0.04). In this large study of gene-lifestyle interaction, we observed no interactions between genetic and lifestyle factors, both of which were associated with 2-h glucose. It is perhaps unlikely that top loci from genome-wide association studies will exhibit strong subgroup-specific effects, and may not, therefore, make the best candidates for the study of interactions.

Published
2012

28. Variant ABO Blood Group Alleles, Secretor Status, and Risk of Pancreatic Cancer: Results from the Pancreatic Cancer Cohort Consortium

Author

Wolpin, Brian M, Kraft, Peter, Xu, Mousheng, Steplowski, Emily, Olsson, Martin L, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Stolzenberg-Solomon, Rachael Z, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Austin, Melissa A, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Gaziano, J Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kooperberg, Charles, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Sanchéz, Maria-José, Sansbury, Leah, Shu, Xiao-Ou, Slimani, Nadia, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Visvanathan, Kala, Virtamo, Jarmo, Wactawski-Wende, Jean, Watters, Joanne, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S

Subjects
Digestive Diseases, Cancer, Clinical Research, Genetics, Rare Diseases, Pancreatic Cancer, Prevention, Human Genome, Aetiology, 2.1 Biological and endogenous factors, ABO Blood-Group System, Alleles, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glycosyltransferases, Humans, Odds Ratio, Pancreatic Neoplasms, Phenotype, Polymorphism, Single Nucleotide, Medical and Health Sciences, Epidemiology
Abstract

BackgroundSubjects with non-O ABO blood group alleles have increased risk of pancreatic cancer. Glycosyltransferase activity is greater for the A(1) versus A(2) variant, whereas O01 and O02 variants are nonfunctioning. We hypothesized: 1) A(1) allele would confer greater risk than A(2) allele, 2) protective effect of the O allele would be equivalent for O01 and O02 variants, 3) secretor phenotype would modify the association with risk.MethodsWe determined ABO variants and secretor phenotype from single nucleotide polymorphisms in ABO and FUT2 genes in 1,533 cases and 1,582 controls from 12 prospective cohort studies. Adjusted odds ratios (OR) for pancreatic cancer were calculated using logistic regression.ResultsAn increased risk was observed in participants with A(1) but not A(2) alleles. Compared with subjects with genotype O/O, genotypes A(2)/O, A(2)/A(1), A(1)/O, and A(1)/A(1) had ORs of 0.96 (95% CI, 0.72-1.26), 1.46 (95% CI, 0.98-2.17), 1.48 (95% CI, 1.23-1.78), and 1.71 (95% CI, 1.18-2.47). Risk was similar for O01 and O02 variant O alleles. Compared with O01/O01, the ORs for each additional allele of O02, A(1), and A(2) were 1.00 (95% CI, 0.87-1.14), 1.38 (95% CI, 1.20-1.58), and 0.96 (95% CI, 0.77-1.20); P, O01 versus O02 = 0.94, A(1) versus A(2) = 0.004. Secretor phenotype was not an effect modifier (P-interaction = 0.63).ConclusionsAmong participants in a large prospective cohort consortium, ABO allele subtypes corresponding to increased glycosyltransferase activity were associated with increased pancreatic cancer risk.ImpactThese data support the hypothesis that ABO glycosyltransferase activity influences pancreatic cancer risk rather than actions of other nearby genes on chromosome 9q34.

Published
2010

29. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33.

Author

Petersen, Gloria M, Amundadottir, Laufey, Fuchs, Charles S, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Jacobs, Kevin B, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gallinger, Steven, Gross, Myron, Helzlsouer, Kathy, Holly, Elizabeth A, Jacobs, Eric J, Klein, Alison P, LaCroix, Andrea, Li, Donghui, Mandelson, Margaret T, Olson, Sara H, Risch, Harvey A, Zheng, Wei, Albanes, Demetrius, Bamlet, William R, Berg, Christine D, Boutron-Ruault, Marie-Christine, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Howard, Barbara, Hunter, David J, Hutchinson, Amy, Jenab, Mazda, Kaaks, Rudolf, Kooperberg, Charles, Krogh, Vittorio, Kurtz, Robert C, Lynch, Shannon M, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Parikh, Hemang, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Rodriguez, Laudina, Seminara, Daniela, Shu, Xiao-Ou, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wang, Zhaoming, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Fraumeni, Joseph F, Hoover, Robert N, Hartge, Patricia, and Chanock, Stephen J

Subjects
Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 13, Humans, Carcinoma, Pancreatic Neoplasms, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a genome-wide association study of pancreatic cancer in 3,851 affected individuals (cases) and 3,934 unaffected controls drawn from 12 prospective cohort studies and 8 case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P = 3.27 x 10(-11), per-allele odds ratio (OR) 1.26, 95% CI 1.18-1.35) and rs9564966 (P = 5.86 x 10(-8), per-allele OR 1.21, 95% CI 1.13-1.30), map to a nongenic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2, and the strongest signal was at rs3790844 (P = 2.45 x 10(-10), per-allele OR 0.77, 95% CI 0.71-0.84). A single SNP, rs401681 (P = 3.66 x 10(-7), per-allele OR 1.19, 95% CI 1.11-1.27), maps to the CLPTM1L-TERT locus on 5p15.33, which is associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies.

Published
2010

30. Pancreatic cancer risk and ABO blood group alleles: results from the pancreatic cancer cohort consortium.

Author

Wolpin, Brian M, Kraft, Peter, Gross, Myron, Helzlsouer, Kathy, Bueno-de-Mesquita, H Bas, Steplowski, Emily, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Jacobs, Eric J, Lacroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Anderson, Garnet, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Clipp, Sandra, Gaziano, John Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin, Kooperberg, Charles, Lynch, Shannon M, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Rajkovic, Aleksandar, Sanchéz, Maria-José, Shu, Xiao-Ou, Slimani, Nadia, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Virtamo, Jarmo, Wactawski-Wende, Jean, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S

Subjects
Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Cohort Studies, Gene Frequency, Genotype, Alleles, Aged, Middle Aged, Female, Male, Clinical Research, Genetics, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Cancer, Prevention, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

A recent genome-wide association study (PanScan) identified significant associations at the ABO gene locus with risk of pancreatic cancer, but the influence of specific ABO genotypes remains unknown. We determined ABO genotypes (OO, AO, AA, AB, BO, and BB) in 1,534 cases and 1,583 controls from 12 prospective cohorts in PanScan, grouping participants by genotype-derived serologic blood type (O, A, AB, and B). Adjusted odds ratios (ORs) for pancreatic cancer by ABO alleles were calculated using logistic regression. Compared with blood type O, the ORs for pancreatic cancer in subjects with types A, AB, and B were 1.38 [95% confidence interval (95% CI), 1.18-1.62], 1.47 (95% CI, 1.07-2.02), and 1.53 (95% CI, 1.21-1.92), respectively. The incidence rates for blood types O, A, AB, and B were 28.9, 39.9, 41.8, and 44.5 cases per 100,000 subjects per year. An increase in risk was noted with the addition of each non-O allele. Compared with OO genotype, subjects with AO and AA genotype had ORs of 1.33 (95% CI, 1.13-1.58) and 1.61 (95% CI, 1.22-2.18), whereas subjects with BO and BB genotypes had ORs of 1.45 (95% CI, 1.14-1.85) and 2.42 (1.28-4.57). The population attributable fraction for non-O blood type was 19.5%. In a joint model with smoking, current smokers with non-O blood type had an adjusted OR of 2.68 (95% CI, 2.03-3.54) compared with nonsmokers of blood type O. We concluded that ABO genotypes were significantly associated with pancreatic cancer risk.

Published
2010

32. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer.

Author

Amundadottir, Laufey, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Fuchs, Charles S, Petersen, Gloria M, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Zheng, Wei, Albanes, Demetrius, Bamlet, William, Berg, Christine D, Berrino, Franco, Bingham, Sheila, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clavel-Chapelon, Françoise, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Fox, John W, Gallinger, Steven, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, González, Carlos A, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Holly, Elizabeth A, Hunter, David J, Hutchinson, Amy, Jackson, Rebecca, Jacobs, Kevin B, Jenab, Mazda, Kaaks, Rudolf, Klein, Alison P, Kooperberg, Charles, Kurtz, Robert C, Li, Donghui, Lynch, Shannon M, Mandelson, Margaret, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Olson, Sara H, Overvad, Kim, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Risch, Harvey A, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Chanock, Stephen J, Hartge, Patricia, and Hoover, Robert N

Subjects
Chromosomes, Human, Pair 9, Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Cohort Studies, Prospective Studies, Gene Frequency, Genotype, Haplotypes, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Introns, United States, Female, Male, Genetic Variation, Genome-Wide Association Study, Prevention, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.

Published
2009

40. Data from Anthropometric Measures, Physical Activity, and Risk of Glioma and Meningioma in a Large Prospective Cohort Study

Author

Michaud, Dominique S., primary, Bové, Gerald, primary, Gallo, Valentina, primary, Schlehofer, Brigitte, primary, Tjønneland, Anne, primary, Olsen, Anja, primary, Overvad, Kim, primary, Dahm, Christina C., primary, Teucher, Brigit, primary, Boeing, Heiner, primary, Steffen, Annika, primary, Trichopoulou, Antonia, primary, Bamia, Christina, primary, Kyrozis, Andreas, primary, Sacerdote, Carlotta, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Tumino, Rosario, primary, Mattiello, Amalia, primary, Bueno-de-Mesquita, H. Bas, primary, Peeters, Petra H. M., primary, May, Anne M., primary, Barricarte, Aurelio, primary, Chirlaque, Maria-Dolores, primary, Dorronsoro, Miren, primary, José Sánchez, Maria, primary, Rodríguez, Laudina, primary, Duell, Eric J., primary, Hallmans, Göran, primary, Melin, Beatrice S., primary, Manjer, Jonas, primary, Borgquist, Signe, primary, Khaw, Kay-Tee, primary, Wareham, Nick, primary, Allen, Naomi E., primary, Travis, Ruth C., primary, Romieu, Isabelle, primary, Vineis, Paolo, primary, and Riboli, Elio, primary

Published
2023
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41. Data from Metabolic Syndrome and Risks of Colon and Rectal Cancer: The European Prospective Investigation into Cancer and Nutrition Study

Author

Aleksandrova, Krasimira, primary, Boeing, Heiner, primary, Jenab, Mazda, primary, Bas Bueno-de-Mesquita, H., primary, Jansen, Eugene, primary, van Duijnhoven, Fränzel J.B., primary, Fedirko, Veronika, primary, Rinaldi, Sabina, primary, Romieu, Isabelle, primary, Riboli, Elio, primary, Romaguera, Dora, primary, Overvad, Kim, primary, Østergaard, Jane Nautrup, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Morois, Sophie, primary, Masala, Giovanna, primary, Agnoli, Claudia, primary, Panico, Salvatore, primary, Tumino, Rosario, primary, Vineis, Paolo, primary, Kaaks, Rudolf, primary, Lukanova, Annekatrin, primary, Trichopoulou, Antonia, primary, Naska, Androniki, primary, Bamia, Christina, primary, Peeters, Petra H., primary, Rodríguez, Laudina, primary, Buckland, Genevieve, primary, Sánchez, María-José, primary, Dorronsoro, Miren, primary, Huerta, Jose-María, primary, Barricarte, Aurelio, primary, Hallmans, Göran, primary, Palmqvist, Richard, primary, Khaw, Kay-Tee, primary, Wareham, Nicholas, primary, Allen, Naomi E., primary, Tsilidis, Konstantinos K, primary, and Pischon, Tobias, primary

Published
2023
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42. Supplementary Table 1 from Metabolic Syndrome and Risks of Colon and Rectal Cancer: The European Prospective Investigation into Cancer and Nutrition Study

Author

Aleksandrova, Krasimira, primary, Boeing, Heiner, primary, Jenab, Mazda, primary, Bas Bueno-de-Mesquita, H., primary, Jansen, Eugene, primary, van Duijnhoven, Fränzel J.B., primary, Fedirko, Veronika, primary, Rinaldi, Sabina, primary, Romieu, Isabelle, primary, Riboli, Elio, primary, Romaguera, Dora, primary, Overvad, Kim, primary, Østergaard, Jane Nautrup, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Morois, Sophie, primary, Masala, Giovanna, primary, Agnoli, Claudia, primary, Panico, Salvatore, primary, Tumino, Rosario, primary, Vineis, Paolo, primary, Kaaks, Rudolf, primary, Lukanova, Annekatrin, primary, Trichopoulou, Antonia, primary, Naska, Androniki, primary, Bamia, Christina, primary, Peeters, Petra H., primary, Rodríguez, Laudina, primary, Buckland, Genevieve, primary, Sánchez, María-José, primary, Dorronsoro, Miren, primary, Huerta, Jose-María, primary, Barricarte, Aurelio, primary, Hallmans, Göran, primary, Palmqvist, Richard, primary, Khaw, Kay-Tee, primary, Wareham, Nicholas, primary, Allen, Naomi E., primary, Tsilidis, Konstantinos K, primary, and Pischon, Tobias, primary

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2023
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43. Perspective on This Article from Anthropometric Measures, Physical Activity, and Risk of Glioma and Meningioma in a Large Prospective Cohort Study

Author

Michaud, Dominique S., primary, Bové, Gerald, primary, Gallo, Valentina, primary, Schlehofer, Brigitte, primary, Tjønneland, Anne, primary, Olsen, Anja, primary, Overvad, Kim, primary, Dahm, Christina C., primary, Teucher, Brigit, primary, Boeing, Heiner, primary, Steffen, Annika, primary, Trichopoulou, Antonia, primary, Bamia, Christina, primary, Kyrozis, Andreas, primary, Sacerdote, Carlotta, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Tumino, Rosario, primary, Mattiello, Amalia, primary, Bueno-de-Mesquita, H. Bas, primary, Peeters, Petra H. M., primary, May, Anne M., primary, Barricarte, Aurelio, primary, Chirlaque, Maria-Dolores, primary, Dorronsoro, Miren, primary, José Sánchez, Maria, primary, Rodríguez, Laudina, primary, Duell, Eric J., primary, Hallmans, Göran, primary, Melin, Beatrice S., primary, Manjer, Jonas, primary, Borgquist, Signe, primary, Khaw, Kay-Tee, primary, Wareham, Nick, primary, Allen, Naomi E., primary, Travis, Ruth C., primary, Romieu, Isabelle, primary, Vineis, Paolo, primary, and Riboli, Elio, primary

Published
2023
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44. Data from Human Chorionic Gonadotropin Does Not Correlate with Risk for Maternal Breast Cancer: Results from the Finnish Maternity Cohort

Author

Fortner, Renée T., primary, Schock, Helena, primary, Kaaks, Rudolf, primary, Lehtinen, Matti, primary, Pukkala, Eero, primary, Lakso, Hans-Åke, primary, Tanner, Minna, primary, Kallio, Raija, primary, Joensuu, Heikki, primary, Korpela, Jaana, primary, Toriola, Adetunji T., primary, Hallmans, Göran, primary, Grankvist, Kjell, primary, Zeleniuch-Jacquotte, Anne, primary, Toniolo, Paolo, primary, Lundin, Eva, primary, and Surcel, Heljä-Marja, primary

Published
2023
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45. Supplementary Tables 1-2 from Prediagnostic 25-Hydroxyvitamin D, VDR and CASR Polymorphisms, and Survival in Patients with Colorectal Cancer in Western European Populations

Author

Fedirko, Veronika, primary, Riboli, Elio, primary, Tjønneland, Anne, primary, Ferrari, Pietro, primary, Olsen, Anja, primary, Bueno-de-Mesquita, H. Bas, primary, van Duijnhoven, Fränzel J.B., primary, Norat, Teresa, primary, Jansen, Eugène H.J.M., primary, Dahm, Christina C., primary, Overvad, Kim, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Racine, Antoine, primary, Lukanova, Annekatrin, primary, Teucher, Birgit, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Benetou, Vassiliki, primary, Trichopoulos, Dimitrios, primary, Grioni, Sara, primary, Vineis, Paolo, primary, Panico, Salvatore, primary, Palli, Domenico, primary, Tumino, Rosario, primary, Siersema, Peter D., primary, Peeters, Petra H., primary, Skeie, Guri, primary, Brustad, Magritt, primary, Chirlaque, Maria-Dolores, primary, Barricarte, Aurelio, primary, Ramón Quirós, Jose, primary, Sánchez, Maria José, primary, Dorronsoro, Miren, primary, Bonet, Catalina, primary, Palmqvist, Richard, primary, Hallmans, Göran, primary, Key, Timothy J., primary, Crowe, Francesca, primary, Khaw, Kay-Tee, primary, Wareham, Nick, primary, Romieu, Isabelle, primary, McKay, James, primary, Wark, Petra A., primary, Romaguera, Dora, primary, and Jenab, Mazda, primary

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2023
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47. Supplemental Table 1 from Human Chorionic Gonadotropin Does Not Correlate with Risk for Maternal Breast Cancer: Results from the Finnish Maternity Cohort

Author

Fortner, Renée T., primary, Schock, Helena, primary, Kaaks, Rudolf, primary, Lehtinen, Matti, primary, Pukkala, Eero, primary, Lakso, Hans-Åke, primary, Tanner, Minna, primary, Kallio, Raija, primary, Joensuu, Heikki, primary, Korpela, Jaana, primary, Toriola, Adetunji T., primary, Hallmans, Göran, primary, Grankvist, Kjell, primary, Zeleniuch-Jacquotte, Anne, primary, Toniolo, Paolo, primary, Lundin, Eva, primary, and Surcel, Heljä-Marja, primary

Published
2023
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48. Supplementary Tables 1-2 from Genetic Polymorphisms in 15q25 and 19q13 Loci, Cotinine Levels, and Risk of Lung Cancer in EPIC

Author

Timofeeva, Maria N., primary, McKay, James D., primary, Davey, Smith George, primary, Johansson, Mattias, primary, Byrnes, Graham B., primary, Chabrier, Amélie, primary, Relton, Caroline, primary, Ueland, Per Magne, primary, Vollset, Stein Emil, primary, Midttun, Øivind, primary, Nygård, Ottar, primary, Slimani, Nadia, primary, Romieu, Isabelle, primary, Clavel-Chapelon, Françoise, primary, Boutron-Ruault, Marie-Christine, primary, Fagherazzi, Guy, primary, Kaaks, Rudolf, primary, Teucher, Birgit, primary, Boeing, Heiner, primary, Weikert, Cornelia, primary, Bueno-de-Mesquita, H. Bas, primary, van Gils, Carla, primary, Peeters, Petra H.M., primary, Agudo, Antonio, primary, Barricarte, Aurelio, primary, Huerta, Jose-Maria, primary, Rodríguez, Laudina, primary, Sánchez, Maria-José, primary, Larrañaga, Nerea, primary, Khaw, Kay-Tee, primary, Wareham, Nick, primary, Allen, Naomi E., primary, Travis, Ruth C., primary, Gallo, Valentina, primary, Norat, Teresa, primary, Krogh, Vittorio, primary, Masala, Giovanna, primary, Panico, Salvatore, primary, Sacerdote, Carlotta, primary, Tumino, Rosario, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Rasmuson, Torgny, primary, Hallmans, Göran, primary, Riboli, Elio, primary, Vineis, Paolo, primary, and Brennan, Paul, primary

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2023
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49. Data from Genetic Polymorphisms in 15q25 and 19q13 Loci, Cotinine Levels, and Risk of Lung Cancer in EPIC

Author

Timofeeva, Maria N., primary, McKay, James D., primary, Davey, Smith George, primary, Johansson, Mattias, primary, Byrnes, Graham B., primary, Chabrier, Amélie, primary, Relton, Caroline, primary, Ueland, Per Magne, primary, Vollset, Stein Emil, primary, Midttun, Øivind, primary, Nygård, Ottar, primary, Slimani, Nadia, primary, Romieu, Isabelle, primary, Clavel-Chapelon, Françoise, primary, Boutron-Ruault, Marie-Christine, primary, Fagherazzi, Guy, primary, Kaaks, Rudolf, primary, Teucher, Birgit, primary, Boeing, Heiner, primary, Weikert, Cornelia, primary, Bueno-de-Mesquita, H. Bas, primary, van Gils, Carla, primary, Peeters, Petra H.M., primary, Agudo, Antonio, primary, Barricarte, Aurelio, primary, Huerta, Jose-Maria, primary, Rodríguez, Laudina, primary, Sánchez, Maria-José, primary, Larrañaga, Nerea, primary, Khaw, Kay-Tee, primary, Wareham, Nick, primary, Allen, Naomi E., primary, Travis, Ruth C., primary, Gallo, Valentina, primary, Norat, Teresa, primary, Krogh, Vittorio, primary, Masala, Giovanna, primary, Panico, Salvatore, primary, Sacerdote, Carlotta, primary, Tumino, Rosario, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Rasmuson, Torgny, primary, Hallmans, Göran, primary, Riboli, Elio, primary, Vineis, Paolo, primary, and Brennan, Paul, primary

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2023
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50. Supplementary Methods from Genetic Polymorphisms in 15q25 and 19q13 Loci, Cotinine Levels, and Risk of Lung Cancer in EPIC

Author

Timofeeva, Maria N., primary, McKay, James D., primary, Davey, Smith George, primary, Johansson, Mattias, primary, Byrnes, Graham B., primary, Chabrier, Amélie, primary, Relton, Caroline, primary, Ueland, Per Magne, primary, Vollset, Stein Emil, primary, Midttun, Øivind, primary, Nygård, Ottar, primary, Slimani, Nadia, primary, Romieu, Isabelle, primary, Clavel-Chapelon, Françoise, primary, Boutron-Ruault, Marie-Christine, primary, Fagherazzi, Guy, primary, Kaaks, Rudolf, primary, Teucher, Birgit, primary, Boeing, Heiner, primary, Weikert, Cornelia, primary, Bueno-de-Mesquita, H. Bas, primary, van Gils, Carla, primary, Peeters, Petra H.M., primary, Agudo, Antonio, primary, Barricarte, Aurelio, primary, Huerta, Jose-Maria, primary, Rodríguez, Laudina, primary, Sánchez, Maria-José, primary, Larrañaga, Nerea, primary, Khaw, Kay-Tee, primary, Wareham, Nick, primary, Allen, Naomi E., primary, Travis, Ruth C., primary, Gallo, Valentina, primary, Norat, Teresa, primary, Krogh, Vittorio, primary, Masala, Giovanna, primary, Panico, Salvatore, primary, Sacerdote, Carlotta, primary, Tumino, Rosario, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Rasmuson, Torgny, primary, Hallmans, Göran, primary, Riboli, Elio, primary, Vineis, Paolo, primary, and Brennan, Paul, primary

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2023
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